merged_nyt_searches = read_csv(file ="./data/merged_nyt_searches.csv") #previously merged_nyt_searches dataframe into a csv file## Parsed with column specification:
## cols(
## .default = col_double(),
## county = col_character(),
## district_num = col_integer(),
## most_searched = col_character(),
## gender_workplace_diversity = col_integer(),
## maternity_leave_in_the_united_states = col_integer(),
## single_payer_healthcare = col_integer(),
## tax_cuts_and_jobs_act_of_2017 = col_integer(),
## transgender_people_in_the_military = col_integer(),
## cruz = col_integer(),
## o_rourke = col_integer(),
## dikeman = col_integer()
## )## See spec(...) for full column specifications.gis = merged_nyt_searches %>%
select(county, most_searched, cruz, o_rourke, dikeman) %>%
mutate(cruz_orour_rat = cruz/o_rourke,
status = as.numeric(cruz_orour_rat>=1),
winner = ifelse(status==1, "Ted Cruz", "Beto O'Rourke"))
gis = unique(gis)
gis = gis %>%
nest(most_searched)
listcollapse = function(x){
paste(unlist(x), collapse = ", ")
}
gis = gis %>%
mutate( most_searched = map(data, listcollapse)) %>%
select(-data)Cleaning data so as to merge with GIS…
texas_counties = counties(state = "48",year = "2017") #Texas fips code is 48, using most recent census data, 2017##
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|=================================================================| 100%tx_midterms = geo_join(texas_counties, gis, "NAME", "county")pal = colorFactor(c("blue", "red"), tx_midterms$status)
popup = paste(sep = "<br/>",
paste0("<b>Winner: </b>", tx_midterms$winner),
paste0("<b>County: </b>", tx_midterms$county),
paste0("<b>Votes for Ted Cruz: </b>", tx_midterms$cruz),
paste0("<b>Votes for Beto O'Rourke: </b>", tx_midterms$o_rourke),
paste0("<b>Votes for Neal Dikeman: </b>", tx_midterms$dikeman),
paste0("<b>Most searched topics over one month prior: </b>", tx_midterms$most_searched))leaflet(tx_midterms) %>%
addProviderTiles("CartoDB.Positron") %>%
addPolygons(fillColor= ~pal(status),
color = "black",
popup = popup,
fillOpacity = 0.5,
weight = 0.5) %>%
addLegend(position = "bottomleft",
colors = c("blue", "red"),
labels = c("Democrat", "Republican"),
opacity = 1,
title = "2018 Texas Senate Election Results")